Jaideep Moitra

35 papers receiving 2.5k citations

Jaideep Moitra's Hit Papers

Life without white fat: a transgenic mouse 1998 · 627 citations
6270+9+18Years since publication200400600

Peers

Jaideep Moitra
Comparison fields: 5 of 114
  • Physiology 798
  • Endocrine and Autonomic Systems 168
  • Biochemistry 158
  • Molecular Biology 1.4k
  • Epidemiology 577
Replace Reid Huber with:
Reid Huber United States
Kazuya Yamada Japan
AnneMarie Gagnon Canada
Yasushi Kitaura Japan
Stéphanie Bonnafous France
Shui Q. Ye United States
Masayuki Tsujisaki Japan
Yasushi Matsuki Japan
Canwen Jiang United States
I. Sophie T. Bos Netherlands
Jaideep Moitra relative to Reid Huber United States Reid Huber's profile →
Citations per field
00.5×1.5×2.4×
Reid Huber · 1×
Citations per year

Countries citing papers authored by Jaideep Moitra

Since Specialization
Citations

This map shows the geographic impact of Jaideep Moitra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jaideep Moitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaideep Moitra more than expected).

Fields of papers citing papers by Jaideep Moitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaideep Moitra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jaideep Moitra. The network helps show where Jaideep Moitra may publish in the future.

Co-authors

The 25 scholars most cited alongside Jaideep Moitra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaideep Moitra Line = papers co-authored together Jaideep Moitra links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Life without white fat: a transgenic mouse
Hit paper breakdown →
1998627
2 2000317
3 2009135
4 1997121
5 2008106
6 2006106
7 200797
8 200794
9 201186
10 200274
11 200767
12 200667
13 199962
14 201062
15 200655
16 199753
17 200948
18 201241
19 199539
20 201039

About Jaideep Moitra

Jaideep Moitra is a scholar working on Molecular Biology, Physiology, Immunology, Epidemiology and Cell Biology, having authored 35 papers that have together received 2.6k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Adipose Tissue and Metabolism (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Sphingolipid Metabolism and Signaling (5 papers), Immune Response and Inflammation (4 papers), Nuclear Structure and Function (3 papers), Caveolin-1 and cellular processes (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Physiology (798 citations), Endocrine and Autonomic Systems (168 citations), Biochemistry (158 citations), Molecular Biology (1.4k citations) and Epidemiology (577 citations). Jaideep Moitra has collaborated with scholars based in United States, Hungary and Spain. Frequent co-authors include Charles Vinson, Joe G. N. Garcia, Oksana Gavrilova, Marc L. Reitman, Bernice Marcus‐Samuels, Mark Mason, Dmitry Krylov, Saad Sammani, Michael Eckhaus and Lionel Feigenbaum. Their work appears in journals such as Journal of Biological Chemistry, Translational research, American Journal of Respiratory Cell and Molecular Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology and Cancer Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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